Population scale proteomics enables adaptive digital twin modelling in sepsis
By integrating clinical data and plasma proteomics from over 3,000 patients, this study establishes a digital twin framework that enables precise sepsis diagnosis, prognostic prediction, and personalized therapeutic recommendations at emergency department admission to advance precision medicine.